Articles | Volume 20, issue 10
https://doi.org/10.5194/hess-20-4117-2016
https://doi.org/10.5194/hess-20-4117-2016
Research article
 | 
10 Oct 2016
Research article |  | 10 Oct 2016

Optimising seasonal streamflow forecast lead time for operational decision making in Australia

Andrew Schepen, Tongtiegang Zhao, Q. J. Wang, Senlin Zhou, and Paul Feikema

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (Editor review) (15 Aug 2016) by Andy Wood
AR by Andrew Schepen on behalf of the Authors (25 Aug 2016)  Author's response    Manuscript
ED: Publish as is (05 Sep 2016) by Andy Wood
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Short summary
Australian seasonal streamflow forecasts are issued by the Bureau of Meteorology with up to two weeks' delay. Timelier forecast release will enhance forecast value and enable sub-seasonal forecasting. The bureau's forecasting approach is modified to allow timelier forecast release, and changes in reliability and skill are quantified. The results are combined with insights into the forecast production process to recommend a more flexible forecasting system to better meet the needs of users.